Principal Data Platform Engineer

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
We seek a Principal Software Engineer with deep experience designing and building modern, cloud-native platforms to support customer-defined data integration and planning analytics solutions. In this role, you will lead architecture and development efforts for highly scalable, reliable, and secure systems that support enterprise data connectivity, transformation, integration, cataloging, governance, and analytics.
Strategic Technical Leadership: Lead the long-term technical direction of the engineering team, driving the evolution of scalable, high-performance systems using cloud engineering and DevOps best practices. Collaborate with senior leadership and cross-functional teams to define and execute the company’s technical vision, aligning engineering efforts with broader business goals and customer success.
High-Performance at Cloud Scale: Design and implement cloud-native architectures that are globally scalable, resilient, and optimized for high availability, disaster recovery, and low latency. Lead the development of modern, secure, and scalable systems using AWS, GCP, Azure, or similar cloud platforms.
Deliver product capabilities that enable customers to build and manage scalable data pipelines and data analytic solutions that support strategic, ad hoc, and AI-driven data analytics using technologies such as Apache Spark, Apache Flink, Unity Catalog, Apache Hive, Databricks, Apache Iceberg, and Delta Tables.
Stay up-to-date with the latest trends in software engineering, cloud computing, and data processing. Mentorship & Team Leadership: Provide technical leadership and mentorship to junior, mid-level, and senior engineers. Promote best practices in coding, architecture, and system design. Software engineering experience, with experience related to data processing systems.
Deep knowledge of software engineering principles and best practices, particularly in Python, Java, or similar backend technologies.
Demonstrated experience in a principal or technical lead role, with a track record of guiding architecture decisions, mentoring engineers, and driving technical execution.
Expertise in designing and implementing distributed systems, cloud-native architectures in AWS, Azure, and/or GCP, and cloud-hosted containerized systems using Kubernetes, Docker, or similar.
Extensive experience designing, building, and operating public and internal / RESTful APIs, supported by synchronous and asynchronous microservices architectures. Strong understanding of distributed systems, microservices architectures, and the challenges of building high-throughput, low-latency systems to support short- and long-running processes at scale.
Hands-on experience with event-driven platforms like Apache Kafka, RabbitMQ, Apache Pulsar, and other messaging systems for system integrations and real-time data streaming.
Strong background in processing large batch and streaming datasets, and building data pipelines using platforms like Apache Spark, Apache Flink, Databricks, or similar platforms.
High proficiency in Python and/or Java; experience with additional languages such as Rust, Scala, and Kotlin is a plus.
In-depth knowledge of security practices in cloud environments, including identity management, encryption, and secure application development. Understanding of data lakehouse and warehouse architectures and tools like Databricks, Delta Lake, Apache Iceberg, and Unity Catalog.
Understanding of data products that support BI tools, dashboards, and analytics, including support for ad hoc querying, semantic layers, and AI-enhanced insights.
Understanding of ETL, ELT, data quality, data management platforms, and solutions
Familiarity with modern data governance and security practices for enterprise systems.
Experience with data lakehouse and warehouse architectures and tools like Databricks, Delta Lake, Apache Iceberg, and Unity Catalog.
Experience with ETL, ELT, data quality, data management platforms, and solutions
Experience with data products that support BI tools, dashboards, and analytics, such as Tableau, Power BI, or similar, including support for ad hoc querying, semantic layers, and AI-enhanced insights.
Experience with OLAP / multi-dimensional databases, query engines, and models.
Experience with enterprise planning analytics platforms, such as Anaplan or similar.
Contributions to open-source data or analytics projects or active involvement in data engineering communities.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 
Fraud Recruitment Disclaimer  
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.